diff --git a/src/parallel_computing.py b/src/parallel_computing.py
index c0364562fe65202d0d382d8309bb7651e8bceece..003a8cc53d09ef8f3021fed3cfb19dd98779ab98 100644
--- a/src/parallel_computing.py
+++ b/src/parallel_computing.py
@@ -13,7 +13,7 @@ import shutil
 from time import sleep
 from OMPython import OMCSessionZMQ
 import numpy as np
-from config import MODEL_FILE, MODEL_NAME, SIMULATION_STOP_TIME, RESULTS, MODEL_PATH, PRECISION
+from config import MODEL_FILE, MODEL_NAME, SIMULATION_STOP_TIME, OBJECTIVES, MODEL_PATH, PRECISION
 
 temp_dirs = []  # List to store paths of temporary directories
 
@@ -71,15 +71,15 @@ def optimization_function(param_values, retries=3, delay=2):
             simulate_result = omc.sendExpression(f"simulate({MODEL_NAME}, stopTime={SIMULATION_STOP_TIME})")
             # Retrieve simulation results
             result_values = {}
-            for result in RESULTS:
-                value_command = f"val({result}, {SIMULATION_STOP_TIME})"
+            for objective in OBJECTIVES:
+                value_command = f"val({objective}, {SIMULATION_STOP_TIME})"
                 value = omc.sendExpression(value_command)
-                print(f"Value for {result} at {SIMULATION_STOP_TIME}: {value}")
+                print(f"Value for {objective} at {SIMULATION_STOP_TIME}: {value}")
                 if value is None:
-                    raise ValueError(f"Simulation result returned None for {result}")
+                    raise ValueError(f"Simulation result returned None for {objective}")
                 if not isinstance(value, (float, int)):
-                    raise ValueError(f"Simulation result for {result} is not in expected format (float or int)")
-                result_values[result] = round(value, PRECISION)
+                    raise ValueError(f"Simulation result for {objective} is not in expected format (float or int)")
+                result_values[objective] = round(value, PRECISION)
             
             print(f"Simulation results: {result_values}")
             return list(result_values.values())
@@ -92,7 +92,7 @@ def optimization_function(param_values, retries=3, delay=2):
                 shutdown_omc(omc)
     
     # If all attempts fail, return NaNs
-    return [np.nan] * len(RESULTS)
+    return [np.nan] * len(OBJECTIVES)
 
 def shutdown_omc(omc):
     try: